油菜籽来源抗氧化物质研究进展

油菜籽中含有多种具有抗氧化活性的物质，为抵御机体的氧化损伤起到了积极作用。本文综述了油菜籽来源的诸多抗氧化活性成分及抗氧化活性的评价方法。油菜籽主要的抗氧化成分有肽类、多酚类、多糖类、生育酚和其它抗氧化成分，其中的肽类主要有三种产生方式：非消化酶酶解、消化酶酶解和发酵。针对油菜籽来源的活性物质抗氧化活性的评价方法，包括体外测定方法（化学检测）和细胞内抗氧化实验和动物实验。综述还探讨了油菜籽抗氧化活性成分研究中存在的问题和解决方法，旨在为油菜籽活性成分的开发和利用提供参考。     

Prevention and Controlling Effect of Intercropping on Pests and Diseases and Its Risk Control in Cotton Fields

Cotton is one of the major field crops which are seriously threatened by pests and diseases. In recent years, the ecological management of cotton pests and diseases with intercropping has become to be an interesting approach. Intercropping possibly increases the population of natural enemies and finally reduces the population density of pests as a result of changes in ecological structure and environmental conditions of farmland. Intercropping thus has been considered an important alternative in controlling pests and diseases. However, cotton field intercropping also has some limitations in controlling pests and diseases. Unreasonable intercropping system has many risks such as increasing labor input, increasing the difficulty of pests’ control, and aggravating pests and diseases. In this paper, the effects and the underlying mechanisms of cotton intercropping on cotton pests and diseases were reviewed. The possible risks and countermeasures used for ecological control of intercropping were also put forward, and the future and application of ecological management of cotton pests and diseases with intercropping were prospected.     

福建南平市竹产业标准体系实施、评价与改进建议

推动竹产业高质量发展，标准化工作任重道远，推进标准体系有效实施、开展标准体系评价、动态优化标准体系必不可少。本文以南平市竹产业为例，探索竹产业标准体系实施、评价与改进的方法，以期逐步建立福建省竹产业标准体系实施与评价体系。     

基于风险与效益模型的政府农业科技投入范围界定

在分析农业科技研发层次与演化流程的基础上,提出了不同研究阶段的农业技术类型和特征,构建了农业科技研发投入风险与效益模型,揭示了政府农业科技投入领域的选择行为,并以此界定了农业科技投入的合理范围。     

Performance of DSSAT-Nwheat across a wide range of current and future growing conditions

Crop models are widely used in agricultural impact studies. However, many studies have reported large uncertainties from single-model-based simulation analyses, suggesting the need for multi-model simulation capabilities. In this study, the APSIM-Nwheat model was integrated into the Decision Support System for Agro-technology (DSSAT), which already includes two wheat models, to create multi-model simulation capabilities for wheat cropping systems analysis. The new model in DSSAT (DSSAT-Nwheat) was evaluated using more than 1000 observations from field experiments of 65 treatments, which included a wide range of nitrogen fertilizer applications, water supply (irrigation and rainout shelter), planting dates, elevated atmospheric CO₂ concentrations, temperature variations, cultivars, and soil types in diverse climatic regions that represented the main wheat growing areas of the world.DSSAT-Nwheat reproduced the observed grain yields well with an overall root mean square deviation (RMSD) of 0.89 t/ha (13%). Nitrogen applications, water supply, and planting dates had large effects on observed biomass and grain yields, and the model reproduced these crop responses well. Crop total biomass and nitrogen uptake were reproduced well despite relatively poor simulations of observed leaf area measurements during the growing season. The low sensitivity of biomass simulations to poor simulations of leaf area index (LAI) were due to little changes in intercepted solar radiation at LAI >3 and water and nitrogen stress often limiting photosynthesis and growth rather than light interception at low LAI.The responses of DSSAT-Nwheat to temperature variations and elevated atmospheric CO₂ concentrations were close to observed responses. When compared with the two other DSSAT-wheat models (CERES and CROPSIM), these responses were similar, except for the responses to hot environments, due to different approaches in modeling heat stress effects.The comprehensive evaluation of the DSSAT-Nwheat model with field measurements, including a comparison with two other DSSAT-wheat models, created a multi-model simulation platform that allows the quantification of model uncertainties in wheat impact assessments.     

美国油气管道基本失效概率评估方法及启示

为充分利用油气管道历史失效数据,减少失效概率评估过程中的主观性,提出油气管道基本失效概率的概念及评估方法。对美国管道及危险物品安全管理局数据库的油气管道里程数据、事故数据及失效因素数据进行全面分析,采用基于事故统计的方法评估油气管道基本失效概率。结果表明:美国危险液体管道、输气集气管道、配气管道发生一般事故的基本失效概率分别为1.29次/(10^3 km·a)、2.17次/(10^4 km·a)及4.08次/(10^5 km·a),发生较大事故的基本失效概率分别为4.58次/(10^4 km·a)、1.41次/(10^4 km·a)及2.38次/(10^5 km·a),发生重大事故的基本失效概率分别为9.09次/(10^6 km·a)、9.79次/(10^6 km·a)及1.11次/(10^5 km·a)。美国基本失效概率可作为油气管道失效概率评估的基准线,也可作为风险可接受标准的依据,但不能直接应用于中国管道风险评价,需对其进行修正,建立适用于中国管道的失效数据库。     

基于模糊数学的洲滩人工林复合经营模式多功能评价

在资料查询、专家咨询获取各种模式林分相关信息的基础上,选择华容县5种当地典型的杨树人工林复合经营模式,共设置20块样地,对相应指标进行实地调查,从生态效益、经济效益、社会效益三个方面筛选评价指标,构建了洲滩人工林复合经营的综合评价指标体系,运用层次分析法和模糊数学综合评判法对5种杨树人工林经营模式进行了评价。评价结果表明:5种杨树人工林复合经营模式的生态、经济、社会综合效益评价优劣排序为林-菜模式(0.631 3)林-菌模式(0.611 8)林-药模式(0.488 3)林-草模式(0.475 2)纯林模式(0.456 7)。无论从生态功能、经济功能、社会功能还是从综合效益来看,研究区人工林复合经营模式都优于纯林模式。     

基于非线性假设的农业机械化综合评价——以四川地区为例

农业机械化水平受到自然、经济、社会等多重因素影响,区域性特征非常明显,对农机化的评价维度和方法目前也未形成共识。为此,以四川省农机发展水平为例,确定四川省农业机械化评价维度后,基于几个维度的非线性关系假设,使用三维空间向量对该地区农业机械化水平进行了综合评价。     

Anthropogenically disturbed potentially toxic elements in roadside topsoils of a suburban region of Bishkek,Central Asia

The ecological environment in Central Asia is vulnerable to pressure from human activity due to the physical geography and climatic fragility of this region. A set of indicators suitable for the future assessment of this pressure needs to be proposed. Thirty‐six topsoil samples (0–5 cm) were collected from roadsides in a suburban region of Bishkek, the capital of the Kyrgyz Republic in Central Asia, and a risk assessment of anthropogenically disturbed potentially toxic elements (PTEs) was systematically conducted with classic statistical methods. The results of detrended correspondence analysis and principal component analysis clearly showed that topsoil samples with high contents of PTEs (Pb, Zn and Cu) were strongly affected by traffic within a distance threshold of 200 m and that anthropogenic effects decreased significantly with increasing distance from the highway. The enrichment factor and anthropogenic contribution for Pb were the highest among the three PTEs, with average values of 2.0% and 47.4%, respectively, suggesting enrichment. However, the results of the human health risk assessment also indicated that noncarcinogenic risks did not occur for any of the anthropogenic PTEs. The reported method provides a new systematic pathway to reveal anthropogenic influences on the geochemical composition of soil. The conclusions of this work will be highly valuable as important guidelines for agriculture, and the results of the PTE contents will provide a scientific basis for soil collection in future studies.